Differential Diagnostic Utility of Clinical Laboratory Data in Patients with Severe and Non-severe COVID-19
| Author | Ali Hosseinzadeh | en |
| Author | Mohammad Hassan Emamian | en |
| Author | Marzieh Rohani-Rasaf | en |
| Author | Ahmad Khosravi | en |
| Author | Fariba Zare | en |
| Author | Hossein Sheibani | en |
| Author | Ehsan Binesh | en |
| Author | Amir Atashi | en |
| Author | Shirin Mahmoudi | en |
| Author | Reza Chaman | en |
| Orcid | Marzieh Rohani-Rasaf [0000-0002-7945-7542] | en |
| Orcid | Ahmad Khosravi [0000-0002-1106-3782] | en |
| Orcid | Hossein Sheibani [0000-0003-1632-0511] | en |
| Orcid | Amir Atashi [0000-0002-3889-5642] | en |
| Orcid | Reza Chaman [0000-0003-4486-8971] | en |
| Issued Date | 2021-08-17 | en |
| Abstract | Background: Coronavirus disease 2019 (COVID-19) is a coronavirus outbreak caused by severe acute respiratory syndrome coronavirus 2 infection. Objectives: This study aimed to investigate the relationship between laboratory variables and COVID-19 severity. Methods: A total of 731 confirmed cases were included in this study. Based on the clinical course of the disease, the patients were divided into non-severe (n = 599) and severe (n = 132) groups. The area under the curve was estimated for each of the significant predictive factors by the receiver operating characteristic curve. Youden’s index was used to determine the optimal cut-off points to predict the severity of COVID-19. Results: Out of 731 patients, 407 (55.56%) cases were male. The mean age value and age range of the patients were 58.37 and 1 - 98 years, respectively. The age (OR = 1.03, 95% CI: 1.02 - 1.05), international normalized ratio (INR) (OR = 2.09, 95% CI: 1.11 - 3.96), lactate dehydrogenase (LDH) (OR = 1.003, 95% CI: 1.001 - 1.1.003), and neutrophil/lymphocyte ratio (NLR) (OR = 1.08, 95% CI: 1.02 - 1.14) were associated with the severity of COVID-19 in the multivariate analyses. The areas under the curve of LDH, NLR, and INR for the diagnosis of disease severity were 0.76, 0.69, and 0.62, respectively. Conclusions: The results of this study revealed that LDH, NLR, and INR could help to discriminate between non-severe and severe COVID-19 cases. Therefore, clinicians can use these variables to improve therapeutic effects and reduce disease severity. | en |
| DOI | https://doi.org/10.5812/semj.113670 | en |
| Keyword | SARS-COV-2 | en |
| Keyword | COVID-19 | en |
| Keyword | Laboratory Variables | en |
| Keyword | Severity | en |
| Publisher | Brieflands | en |
| Title | Differential Diagnostic Utility of Clinical Laboratory Data in Patients with Severe and Non-severe COVID-19 | en |
| Type | Research Article | en |
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